6 Commits

Author	SHA1	Message	Date
jabber.developer2	3f430e01d2	fix(ai): bound response parsing and harden AUTO fallback errors ... - bound _parse_responses scans to the output_text part's object and to the content array, so a later sibling item's "text" (e.g. a reasoning summary) can never be returned as the assistant reply - do not retry the other flavour on a curl timeout: the request likely reached the server and may still be generating, so a re-POST of the conversation could trigger a second billed generation - remember an unparseable 2xx from the first AUTO attempt and surface stashed first-attempt errors in both error paths, instead of showing only the final attempt's transport or HTTP error - recognize Ollama's model-not-found wording in _names_model so a model typo is not misread as a missing endpoint - drop the dead, racy provider-lookup fallback in the generic request thread: a missing provider ref is a caller bug and now fails loudly - fix ai_providers_lists_defaults to expect the header the command actually prints ("Configured providers:"); the test was broken since its introduction but CI never ran it - add functional test group 5 (AI command surface) to FUNC_TEST_GROUPS so the CI parallel target runs it; proftest.c port ranges already account for five groups	2026-07-10 12:55:09 +03:00
jabber.developer2	3a96d0dba1	fix(ai): close parser and AUTO fallback gaps ... Parser: - Never return reasoning text as the reply: the no-output_text path anchors strictly on the message "content" array; a reasoning-only body (truncated by max_output_tokens, carries only "summary") now fails the parse instead of leaking the chain-of-thought. Regression test added. - _find_json_field skips field-name occurrences that are string values (no ':' after), so {"type":"text","text":"hi"} parses instead of failing on the value of "type". - _same_json_object tracks brace depth, so a nested object between the "text" key and the "output_text" tag (e.g. "annotations") no longer rejects the part's own text. - Chat-completions extraction is bounded to the choices array (new _json_array_end helper), so "message"/"content" in a sibling object (e.g. a top-level "warning") is not returned as the reply. AUTO fallback: - Model errors are classified only from a structured JSON error envelope; a route-missing 404 page merely mentioning models (e.g. listing /v1/models) no longer suppresses the fallback. Trade-off: a model error in a non-JSON body costs one extra fallback attempt. - Fall back on a curl-level failure: an endpoint that accepts the connection but never responds no longer burns the 60s timeout without trying the flavour that works. - Fall back on an unparseable 2xx: a gateway answering unknown paths with a 200 error page previously reset the hint and re-probed the same dead flavour on every request. The body is parsed inside the attempt loop and no longer re-parsed after it. - The second attempt's 401/403/429/5xx now wins over the stashed 400/422 payload rejection, so an invalid key or rate limit is not hidden behind a payload-shape error; a second 404 still defers to the first. - When the first flavour's endpoint is missing but the other answers (even unsuccessfully, e.g. 401), the resolved hint moves to the surviving flavour, so the dead endpoint is not probed first forever. Settings: - Reserved payload keys are rejected only when setting a value; removal is allowed again, so a setting persisted before its key became reserved (e.g. "input") is no longer stuck in the config.	2026-07-08 20:44:02 +03:00
jabber.developer2	b3a269342d	fix(ai): repair custom setting name autocompletion ... The setting-name branch for /ai set custom never fired: it passed the prefix "/ai set custom " with a trailing space to autocomplete_param_with_ac(), which appends a space itself, so the matched prefix contained a double space no real input ever has. Even without that, the primitive completes the first token after the command while the setting name is the second, and the num_args guard only held before the name was started. The suggestion list (tools/search/memory/ plugins) predated the /ai set custom backend and matched no real payload parameter. Replace the branch with token-position completion (arg 5 via autocomplete_param_no_with_func) fed by a list rebuilt on demand from common payload parameters plus the keys already set on the provider, exposed through the new ai_get_provider_setting_keys() (snapshot taken under settings_lock). Drop the now-unused parse_args() call whose NULL result was fed to g_strv_length() unguarded, spamming a glib CRITICAL on TAB at /ai with zero or five-plus arguments.	2026-07-06 16:28:36 +03:00
jabber.developer2	14f76ab1db	feat(ai): support both responses and chat completions APIs ... Drive both OpenAI-compatible flavours from one code path. Requests default to /v1/responses and fall back once to /v1/chat/completions when the provider reports the endpoint missing (404/405/501) or rejects the payload shape (400/422); the working flavour is cached for the rest of the run as a first-attempt hint, with the other flavour kept as a fallback so a backend change self-corrects in-request. A per-provider override is available via /ai set api-type <provider> responses|chat-completions|auto and persisted as api_type= in the provider section. One payload builder serves both flavours (messages/stream vs input/stream/store); history and custom settings are serialized once per request and the per-flavour envelope is assembled per attempt under a single lock acquisition, so the fallback retry cannot double-count the prompt. ai_parse_response_typed() dispatches on the request flavour and splits extraction per envelope: chat completions anchored on choices[].message.content, responses on the output_text part with a string-aware backward scan bounded to that part's own object so a reasoning summary or a truncated body is never returned as the reply. Endpoint detection classifies wrong-model errors from the structured error code/type/message when present, so route-missing 404s from gateways no longer suppress the fallback; it preserves and surfaces the first payload-rejection error when the fallback also fails, and re-probes on an unparseable 2xx. resolved_api_type is written only through a locked helper guarded by a URL/api-type epoch, and api_url is snapshotted under settings_lock in the request and models-fetch threads, closing use-after-free and stale-cache races against /ai set provider. The models-fetch provider ref is taken on the main thread and released on every worker exit path. Reserved custom-setting keys are extended with input (store stays writable as a legitimate chat-completions parameter).	2026-07-06 16:28:36 +03:00
jabber.developer2	5d7b7bb23d	test(ai): align parse_response tests with chat completions API ... The chat-completions refactor removed the legacy Perplexity "text" extraction but left two tests asserting the old behavior, breaking make check on every CI flavor: - test_ai_parse_response_perplexity_text expected the legacy /v1/agent nested format to parse; it now yields NULL — renamed to test_ai_parse_response_legacy_text_format_unsupported. - test_ai_parse_response_text_preferred_over_content expected "text" to win; "content" is authoritative now — renamed to test_ai_parse_response_content_preferred_over_text. Add test_ai_set_provider_setting_reserved_key covering the new reserved-key rejection.	2026-07-04 14:07:22 +03:00
Jabber Developer	9e5dfb14f8	feat(ai): add AI client with multi-provider chat support ... Add an AI client module that integrates with OpenAI-compatible API providers (OpenAI, Perplexity, and custom endpoints) to provide AI-assisted chat within CProof. Users can start sessions with /ai start, send prompts, receive responses in a dedicated AI window, switch between providers and models, and manage API keys — all with tab-completion. Providers are configured via /ai set commands with per-provider API keys, endpoints, default models, and custom settings. Two default providers (openai, perplexity) are seeded on first use. Provider state persists in [ai/<name>] sections of the preferences keyfile with automatic migration from the previous flat-key format. The /ai command integrates into the existing command system with 8 subcommands covering provider management, session lifecycle, model fetching, and conversation clearing. Autocomplete uses the standard flat prefix-matching chain for reliable tab-completion at every nesting level. A new ProfAiWin window type is added to the window system. Architecture: Async design: HTTP requests run on a background thread (pthread) to avoid blocking the ncurses UI loop; results are displayed on the main thread via direct function calls Thread safety: AIProvider and AISession use atomic ref-counting and mutex-protected session state; the request thread snapshots all session data before making the HTTP call Window validation: wins_ai_exists() prevents use-after-free when the user closes the AI window during an in-flight HTTP request (~60s) Privacy: store:false is sent with every request to prevent providers from persisting conversations or using them for training Response size limit: 10MB cap with immediate curl abort via CURL_WRITEFUNC_ERROR to prevent OOM JSON parsing uses unified helpers for both chat responses and error envelopes with consistent escape decoding. The response parser tries Perplexity /v1/responses "text" field first, then falls back to OpenAI "content". Error parsing extracts provider error.message from the standard envelope format. Model parsing handles multiple API response formats (OpenAI list, Perplexity, array) including edge cases. Tests include 470+ lines of unit tests covering provider management, session lifecycle, JSON parsing (multiple formats), autocomplete cycling, and error handling, plus functional tests for /ai command dispatch. A stub_ai.c module isolates unit tests from UI dependencies.	2026-05-15 02:21:54 +00:00